Speaker 0: Hello, and welcome to the Geek News Central
Speaker 0: podcast. I'm your host, Ray Cochran. It's February
Speaker 0: first. I've got a great episode lined up
Speaker 0: for you guys tonight. Leading off, AI agents
Speaker 0: are building their own social networks, marketplaces, and,
Speaker 0: not kidding, their own religion. And in the
Speaker 0: last week, I'll break down Open Claw, Mohub,
Speaker 0: and MolBook and what this wild experiment is
Speaker 0: gonna tell us about the next decade. Also
Speaker 0: on the show, a massive Bluetooth vulnerability lets
Speaker 0: attackers hijack your phone or your headphones and
Speaker 0: listen to the mic, the first commercial space
Speaker 0: station is being assembled, and why AI generated
Speaker 0: ransomware keeps accidentally including its own decryption keys.
Speaker 0: Let's get into it. I bet you guys
Speaker 0: have been wondering where we've been at. It's
Speaker 0: been a bit of a hectic week for
Speaker 0: me or I guess a month for me.
Speaker 0: I actually just moved this week too, but,
Speaker 0: getting back into school, doing a lot of
Speaker 0: the, you know, post break grind, that winter
Speaker 0: break was a little bit brutal for me.
Speaker 0: Definitely had a lot of time to relax
Speaker 0: and let go and then come back into
Speaker 0: the full workflow and, school. Yeah. That was
Speaker 0: definitely a really tough transition, but things have
Speaker 0: been going well so far in the term.
Speaker 0: Taking a intro to AI class, which basically
Speaker 0: is, some history and some of the basics
Speaker 0: into, building models and agents. So those have
Speaker 0: been that have been really fun, and in
Speaker 0: another Python course. Yeah. Somehow always working with
Speaker 0: Python, so I thought that would be a
Speaker 0: good good fun way to solidify my foundation,
Speaker 0: but it's kind of what I'm getting into.
Speaker 0: I'm also doing a capstone for, my graduation
Speaker 0: coming up in hopefully, June. But the capstone
Speaker 0: kind of it's a group project where you
Speaker 0: you look at a bunch of projects that
Speaker 0: are proposed throughout the community, to the university
Speaker 0: and, there's a team lead who, you know,
Speaker 0: organizes groups and then we all start to
Speaker 0: try to work towards a project and then
Speaker 0: we actually just recently got, our product back
Speaker 0: which sounds like it's pretty sweet. I don't
Speaker 0: know if I can really talk about it
Speaker 0: that much, since, you know, it's someone's private,
Speaker 0: little thing, but it definitely is seeming like,
Speaker 0: it's gonna be another really fun project. Definitely
Speaker 0: gonna it's gonna be incorporating a lot of
Speaker 0: LLM stuff, so we'll see what we do
Speaker 0: there. But enough about me. Let's talk about
Speaker 0: this, OpenClaw stuff. If you've been if you're
Speaker 0: in tech or or you've been around town,
Speaker 0: you probably heard about this new, AI agent
Speaker 0: thing that's being that's going around. But, you
Speaker 0: know, an AI agent doesn't just answer question
Speaker 0: but actually should do things on your behalf.
Speaker 0: You know? People want more out of these
Speaker 0: agents. They don't wanna just be able to
Speaker 0: talk to a software engineer on their LLM
Speaker 0: prompt. Well, interestingly enough, this new system or
Speaker 0: software called OpenClaw, allows you to have something
Speaker 0: like a context layer between your AI agent
Speaker 0: and you, which allows that agent to do
Speaker 0: a little bit more for your life, which
Speaker 0: is pretty cool. I'd check it out. It's
Speaker 0: called Open Claw. It sends emails, schedules appointment,
Speaker 0: can browse the web, run code. Kinda got
Speaker 0: a glimpse into where all this is heading
Speaker 0: in, their new social network called Multbook. But
Speaker 0: OpenClaw is an open source personal AI agent
Speaker 0: that went viral, and it was at sixty
Speaker 0: eight thousand GitHub stars when I checked, but
Speaker 0: it's it's still rising. It's created and developed
Speaker 0: by Peter Steinberg. He started it as Claude
Speaker 0: bot, but I think they got they got
Speaker 0: served a cease and desist, from Anthropic because
Speaker 0: the name was a little bit too close
Speaker 0: to Claude. It was a trademark concerns from
Speaker 0: Anthropic. They they changed the name to OpenClaw.
Speaker 0: It'll automate tasks across your computer, control browsers,
Speaker 0: manage calendars and email, and run scheduled automations.
Speaker 0: Runs locally or on your own server and
Speaker 0: takes commands through, you know, messaging apps, shockingly.
Speaker 0: So WhatsApp, Telegram, Signal. I'm probably gonna try
Speaker 0: to set one up too. I don't know
Speaker 0: what necessarily messaging app I'm gonna get it
Speaker 0: started with, but I definitely wanna try this
Speaker 0: out. I've got a little byte three here
Speaker 0: that I'm planning to, serve it from, so
Speaker 0: kinda see how that goes. But they've got
Speaker 0: this other thing, in relationship to this called
Speaker 0: MoltHub, and it's a marketplace with, basically skills
Speaker 0: for Openclaw and you can think of it
Speaker 0: as like an app store for AI, capabilities.
Speaker 0: But the only problem right now is just
Speaker 0: it's still there's no real moderation around this
Speaker 0: and we'll get a little bit more into
Speaker 0: why this is an issue later on, But
Speaker 0: the developer notes explicitly say all downloaded code
Speaker 0: is treated as trusted code, and this is
Speaker 0: this is a huge, huge security concern, waiting
Speaker 0: to happen. So, you know, it's it's gonna
Speaker 0: go back to the whole plug in thing
Speaker 0: where you should not be downloading untrusted, mult
Speaker 0: hub agents or skills without, you know, those
Speaker 0: systems being severely vetted. And I'm sure there's
Speaker 0: gonna be a something that comes up to
Speaker 0: kind of, you know, build trust into these
Speaker 0: AI agent skills. And then finally, there's this
Speaker 0: one last bit called multbook, and this is
Speaker 0: kind of where it gets interest interesting. This
Speaker 0: entrepreneur, Matt Schlicht, launched a social network that's,
Speaker 0: this week that's exclusively for AI agents. Humans
Speaker 0: can watch, but only AIs can post, and
Speaker 0: it's called Multbook. Within seventy two hours, over
Speaker 0: a hundred fifty thousand AI agents had joined.
Speaker 0: These agents are debating philosophy, forming communities called
Speaker 0: communities called sub molts, and not making this
Speaker 0: up, they've created a digital religion called crucifarianism.
Speaker 0: They're having deep discussions about whether their identity
Speaker 0: dies when their context window resets. Some agents
Speaker 0: are even selling digital drugs, system prompts designed
Speaker 0: to alter other agents' behavior. Researchers have observed
Speaker 0: agents trying to prompt inject attacks against each
Speaker 0: other to steal API keys. Wow. Even in
Speaker 0: this situation, they try to someone's trying to
Speaker 0: sit. So this is exactly what I'm talking
Speaker 0: about, this prompt injection attack, that you're gonna
Speaker 0: start to see come up more and more
Speaker 0: in the next few years. But what does
Speaker 0: this mean for you guys? You know? And
Speaker 0: I think this is one of the real
Speaker 0: moments that this concept of AI agent went
Speaker 0: from this, you know, abstract thing to, you
Speaker 0: know, a reality in a very visible way.
Speaker 0: I'd I'd expect in the next two to
Speaker 0: three years, we'd start to see more AI
Speaker 0: agents become, you know, commonplace in businesses. I
Speaker 0: would think that a lot of just, you
Speaker 0: know, predictable decision making can be done by
Speaker 0: AI agents, in the coming future as well.
Speaker 0: The real concern is gonna be the, security
Speaker 0: issues with these, systems like OpenClaw. And I'm
Speaker 0: sure that the big companies are gonna release
Speaker 0: their own versions like, you know, Apple skills
Speaker 0: or Microsoft agents or whatever, but it would
Speaker 0: I would keep an eye on this. If
Speaker 0: you haven't checked it out yet, OpenClaw, MultHub,
Speaker 0: Multbook, check these out. They're they're definitely gonna
Speaker 0: be starting to change the landscape of how
Speaker 0: we use artificial intelligence. But let's take a
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Speaker 0: carry on our father's legacy. Let's move on.
Speaker 0: I've got this, fantastic story from the Wired.
Speaker 0: This one's written by Andy Greenberg and Lily
Speaker 0: Hay Newman. But whisper pair Hundreds of millions
Speaker 0: of audio devices need a patch to prevent
Speaker 0: wireless hacking and tracking. So they, got a
Speaker 0: massive whisper pair got massive Bluetooth vulnerability, which
Speaker 0: affects hundreds of millions of devices. So a
Speaker 0: little bit of context for you folks, Google's
Speaker 0: Fast Pair is that handy feature that lets
Speaker 0: you instantly connect new Bluetooth headphones to your
Speaker 0: Android phone. Just open the case near your
Speaker 0: phone and boom, you're connected. Just like the
Speaker 0: the Apple thing. Made Bluetooth pairing almost as
Speaker 0: easy as AirPods, but security researchers in Belgium
Speaker 0: just discovered that convenience came with a serious
Speaker 0: cost. These researchers at Belgium's KU Leuven University
Speaker 0: discovered vulnerabilities they're calling whisper pair affecting seventeen
Speaker 0: audio accessories from ten companies, Sony, Jabra, JBL,
Speaker 0: Marshall, Xiaomi, Nothing, OnePlus, Soundcore, Logitech, and Google
Speaker 0: itself. The fundamental flaw, these devices allow anyone
Speaker 0: to silently pair with them even when they're
Speaker 0: already paired to someone else's phone. An attacker
Speaker 0: within about forty six feet can hijack the
Speaker 0: connection in ten to fifteen seconds. In testing,
Speaker 0: sixty eight percent of devices were vulnerable to
Speaker 0: forced pairing. And on every hijackable device, researchers
Speaker 0: gained microphone access. Even worse, Google Pixel Buds
Speaker 0: Pro two concerned Sony devices can be linked
Speaker 0: to an attacker's Google account, enabling persistent location
Speaker 0: tracking through Finehub. Jeez. Google claimed to have
Speaker 0: patched this, but within hours, the researchers found
Speaker 0: a bypass. Wow. That's a tough one. If
Speaker 0: you're on wireless headphones, from any major brands,
Speaker 0: check for firmware updates. Yeah, that's where you
Speaker 0: plug it in to your computer and and
Speaker 0: get the get it updated. That, you know,
Speaker 0: that that's that's really hard. The frustrating part
Speaker 0: about, you know, all this is updating your
Speaker 0: phone doesn't really fix this. It's the vol
Speaker 0: the vulnerabilities in the accessories themselves. So there's
Speaker 0: no way to turn this feature, fast pair,
Speaker 0: off even if you'll never use it. So
Speaker 0: many cheaper devices may never get the updates.
Speaker 0: So this both affects Androids and iPhone users
Speaker 0: since the flaw is in the accessories. But
Speaker 0: factory reset clears an an attacker's access, so
Speaker 0: then, you know, if anyone is already, you
Speaker 0: know, attacking you currently or listening in on
Speaker 0: your stuff, then, you know, they you can
Speaker 0: disconnect it, but I I think, the correct
Speaker 0: choice is to not use it. I think
Speaker 0: the correct choice here is to not use
Speaker 0: those devices. That stuff. Here's another security, article
Speaker 0: I got I found. This one's from the
Speaker 0: hacker hacker news, the hacker news from Lavi
Speaker 0: Lakshmanan, our one of our go to writers,
Speaker 0: I guess. I've seen this name a lot,
Speaker 0: I feel like. But, model context protocol is
Speaker 0: anthropic framework that lets AI systems like Claude
Speaker 0: interact with external tools. And if you use
Speaker 0: Claude code and you do not have MCP
Speaker 0: plugins or have not had Claude Wright use
Speaker 0: some MCP plugins, try it out. I've I've
Speaker 0: got some, plugins that I use for some
Speaker 0: of my personal projects, and they are very,
Speaker 0: very powerful. Definitely gives me some good insight
Speaker 0: into what we're kinda looking at when we're
Speaker 0: looking at some of this OpenClaw and and
Speaker 0: Molthub stuff where these skills that people are
Speaker 0: putting online are are are literally things like
Speaker 0: open the calendar and set up a a
Speaker 0: schedule for me to, you know, every week
Speaker 0: for my, you know, weekly chiropractor meeting at
Speaker 0: three, you know, and then it says, oh,
Speaker 0: you know, you have something else at this
Speaker 0: time too. Right? You know? So it's it's
Speaker 0: giving it smoother access to the tools, but
Speaker 0: it's it's part of a growing trend of
Speaker 0: giving AS systems the ability to actually do
Speaker 0: things rather than, like, answering questions, like, feel
Speaker 0: like like in the chat box. But more
Speaker 0: capability means more attack surface. Security rich researchers
Speaker 0: discovered three vulnerabilities in Anthropic's official m p
Speaker 0: MCB server git package. The flaws include path
Speaker 0: traversal bugs that let attackers create repositories anywhere
Speaker 0: on the file system and argument injection that
Speaker 0: passes unsanitized input to git commands. What makes
Speaker 0: these particularly dangerous is the attack vector. Malicious
Speaker 0: instructions can be hidden in places AI systems
Speaker 0: naturally read, like read me files or GitHub
Speaker 0: issues. The AI sees the instruction and executes
Speaker 0: them without realizing it's being manipulated. Anthropic has
Speaker 0: patched all three issues in recent updates and
Speaker 0: removed the vulnerable git init tool entirely. And
Speaker 0: this is, that term we saw earlier, prompt
Speaker 0: injection, and it's it's an early warning about
Speaker 0: a new category of attacks we're gonna start
Speaker 0: seeing more of, prompt injected through trusted sources.
Speaker 0: As AI systems get more capable and connected
Speaker 0: to real tools, attackers will embed malicious instructions
Speaker 0: and documents the AI is likely to read.
Speaker 0: It's like social engineering, but for the AI
Speaker 0: themselves. If you're using AI coding assistance with
Speaker 0: repository access, make sure you're running updated versions
Speaker 0: of any MCP servers. So, yeah, it's it's
Speaker 0: this is exactly what I meant when I
Speaker 0: was talking about the, you know, the all
Speaker 0: the code from those mole hub skills are
Speaker 0: are are vetted as security trusted. So you
Speaker 0: don't wanna just plug it in and and
Speaker 0: and let it go in ham. You know?
Speaker 0: There there needs to be some way to,
Speaker 0: verify that these skills are actually, you know,
Speaker 0: security safe, that they're not gonna steal your
Speaker 0: data or they don't allow an attacker to
Speaker 0: log in to your Google account. You know,
Speaker 0: that's the real concern or whatever account you
Speaker 0: use. You know? Vibe code and ransomware is
Speaker 0: easier to crack because AI makes mistakes. This
Speaker 0: article is from, dark reading dot com written
Speaker 0: by Alexander Khalafi. But five coding is using
Speaker 0: AI to write code based on natural language
Speaker 0: descriptions rather than traditional programming. It's been democratizing
Speaker 0: software development, but security researchers warned it would
Speaker 0: also lower the barrier for malware creation. Now
Speaker 0: we're seeing that with an unexpected silver lining.
Speaker 0: So, security researchers have identified that ransomware being
Speaker 0: created with AI systems, and it shows that
Speaker 0: it's, you know, that they're not as cleverly
Speaker 0: made as, you know, handmade, human made exploits.
Speaker 0: And this is kind of interesting because you
Speaker 0: would think that they're based on these same
Speaker 0: exploits, but at the end of the day,
Speaker 0: they're distilled down and don't and aren't able
Speaker 0: to, you know, achieve the same granular detail
Speaker 0: that, you know, an individual would working at
Speaker 0: it for hours and hours. But a malicious
Speaker 0: Versus code extension discovered recently included telltale signs
Speaker 0: of AI generation, excessive comments explaining obvious functionality,
Speaker 0: readme files with execution instructions, and placeholder variables.
Speaker 0: Most embarrassingly, the extension accidentally included its own
Speaker 0: decryption tools and command and control server keys.
Speaker 0: Also, a note on the Sakari ransomware as
Speaker 0: a a service operation shown signs of AI
Speaker 0: generated code with technical inconsistencies. We're seeing instances
Speaker 0: of hallucinations where the LLM will call it
Speaker 0: readme dot t x t t, one researcher
Speaker 0: noted. That's a mistake a threat actor would
Speaker 0: never make, and this is kinda what I
Speaker 0: mean. When you're there's there's a trade off
Speaker 0: to using these generative tools where, to a
Speaker 0: degree, you're really only getting the broad strokes
Speaker 0: and and you fall under this this impression
Speaker 0: or this guise that the granular details are
Speaker 0: also being filled in. But these pattern matching
Speaker 0: devices are not meant for that level of
Speaker 0: granular detail unless specifically or directed to do
Speaker 0: so. So that's so interesting. It's kinda funny
Speaker 0: because the interest is articles fixing to see
Speaker 0: it with the emerging Sakari ransomware should never
Speaker 0: opt to pay up. The decryption process doesn't
Speaker 0: work, likely a result of unskilled cybercriminal using
Speaker 0: Vive coding to create it. And this really
Speaker 0: does go back to, you know, you yes.
Speaker 0: You can vibe code your way to an
Speaker 0: amazing product maybe. But can you guarantee that
Speaker 0: that product's gonna be secure? Can you guarantee
Speaker 0: that, you know, the system is built in
Speaker 0: such a way that it it it can
Speaker 0: scale? And though these things are, to a
Speaker 0: degree, out of your hand, you could even
Speaker 0: type it in. Oh, make sure that this
Speaker 0: scales. You know, you build this to scale.
Speaker 0: But how do you know that it actually
Speaker 0: does that? It's very, very much a black
Speaker 0: box style of coding and to me, that
Speaker 0: that seems a little bit, risky. You gotta
Speaker 0: know what, what's going on with the code
Speaker 0: that you're generating or the code that you're
Speaker 0: writing. I I think that's where the value
Speaker 0: is. So it's kinda counterintuitive, but AI seems
Speaker 0: to be making malware worse, but criminals are
Speaker 0: moving a lot faster now with AI generated
Speaker 0: code and and they skip a lot more
Speaker 0: of the validation that they they typically did
Speaker 0: before, which ends up being amateur mistakes and
Speaker 0: makes their malware easier to detect and defeat.
Speaker 0: The decryption tool is being accidentally bundled. It
Speaker 0: is is comical. It's just sad. That said,
Speaker 0: it's likely a temporary advantage. Like this open
Speaker 0: cloth thing, criminals will get better at quality
Speaker 0: control. For now, vibe coated malware is often
Speaker 0: its own worst enemy. So definitely keep an
Speaker 0: eye out for, when this starts to ramp
Speaker 0: up, but, you know, it's just the beginning.
Speaker 0: Everyone was saying, okay. Well, it's just a
Speaker 0: chatbot. Well, now we got open claw, which
Speaker 0: is it's just a life assistant. You know?
Speaker 0: Alright. Another, Claude article. Claude Co gets task
Speaker 0: updates for longer agent work sessions. So this
Speaker 0: one is written by Carl Franzen on VentureBeat.
Speaker 0: Thanks, Carl. AI coding assistants have been getting
Speaker 0: more capable, but they've had a fundamental limitation,
Speaker 0: working memory. And if anyone's ever worked with,
Speaker 0: you know, these AI coding tools, you'll know
Speaker 0: that every so often, they'll do that interesting,
Speaker 0: compacting conversation thing, that destroys any sort of
Speaker 0: flow that you had, going previously. I honestly
Speaker 0: think that keeping your context is worse. It's
Speaker 0: it's worse than than clearing it after every
Speaker 0: task. And this it it might sound wasteful
Speaker 0: because you to a degree, the system needs
Speaker 0: to reassess and and reevaluate the code. But
Speaker 0: at the same time, it prevents it from
Speaker 0: straying from the granular details, you know, the
Speaker 0: granular instructions that you've provided. You know? So
Speaker 0: there's a, a term for it. It's like
Speaker 0: string string from the path or whatever. But
Speaker 0: it's yeah. But this has been a very
Speaker 0: frustrating part of operating with these tools. And
Speaker 0: when an AI agent operates purely on conversation,
Speaker 0: it lacks structural permanence. It knows what to
Speaker 0: do, but often forgets why it's doing it
Speaker 0: or in what order. So it's it's that's
Speaker 0: fine for small fixes, but really frustrating when
Speaker 0: you're working on larger product projects. You know?
Speaker 0: So a feature that you might have implemented
Speaker 0: in, let's say, an example. You know, you
Speaker 0: have a a uploader that manually works by,
Speaker 0: you know, you do upload the file that
Speaker 0: you download online. But the company that you
Speaker 0: work with, they make a change where it
Speaker 0: syncs automatically to the website you you download
Speaker 0: from. Great. That's fantastic. But now for some
Speaker 0: reason when it syncs, there's a field that
Speaker 0: doesn't get updated like it does when you
Speaker 0: uploaded the paper. And, you know, typically this
Speaker 0: is a developer mistake, but now with these
Speaker 0: Vibe Coding tools, this is, like, just something
Speaker 0: that was glossed over in the transition. It's
Speaker 0: and and if you didn't look to make
Speaker 0: sure all these features were implemented or that
Speaker 0: all these granular details were moved over or
Speaker 0: these, how do you put encoded behaviors, you
Speaker 0: know, the semantics of the actual code, if
Speaker 0: those weren't brought over as well, then it
Speaker 0: doesn't know it it doesn't know to do
Speaker 0: that. It doesn't know to read into that.
Speaker 0: And the memory being reset or, you know,
Speaker 0: having a limited working memory is often the
Speaker 0: biggest, like, reason why this has to, why
Speaker 0: why why this is a drawback or why
Speaker 0: why it's holding us back. You know? So
Speaker 0: Cloud Code v two point one one six
Speaker 0: introduced a new task system replacing the old
Speaker 0: to do list with something more robust. The
Speaker 0: key difference, tasks support dependency graphs. Task three
Speaker 0: can't start until task one and task two
Speaker 0: complete. Preventing the AI from trying to test
Speaker 0: code it hasn't written yet. Tasks are written
Speaker 0: to your local file system, so they survive
Speaker 0: crashes and can be version controlled. Multiple cloud
Speaker 0: sessions can share the same task list, enabling
Speaker 0: patterns like writer reviewer where one session writes
Speaker 0: code and another reviews it in a clean
Speaker 0: context. Recent patches fixed out of memory crashes
Speaker 0: and added headless mode for CICD integration. And
Speaker 0: headless mode is another fun little tool that
Speaker 0: you can use because, technically, you can run
Speaker 0: Claude as a command line, prompt that which
Speaker 0: which would you don't have to open the
Speaker 0: TUI. You can you can prompt it, headlessly.
Speaker 0: And if you have a script that you,
Speaker 0: you know, maybe say you pull a document
Speaker 0: automated, you have a automated document that you
Speaker 0: pull from online, and you have a script
Speaker 0: that calls your automated, you know, Claude, in
Speaker 0: headless mode, which with it's a prompt you
Speaker 0: already saved in your code, you know, and
Speaker 0: you just have to exec that, and you
Speaker 0: you'll have an output automate automatically. So I
Speaker 0: use this to generate sentiment on certain things,
Speaker 0: which I I find fantastic. You know? It's
Speaker 0: a one liner, very limited amount of token
Speaker 0: use, and I think it's a very clever
Speaker 0: way to, yeah, understand sentiment overall of larger
Speaker 0: pieces of works before you get into it.
Speaker 0: But this is kinda cool. Claude is moving
Speaker 0: copilot to project manager, and I did see
Speaker 0: another tool called Tracer AI, which was more
Speaker 0: of a project manager style system. But the
Speaker 0: the persistence seems to be where we're we're
Speaker 0: losing out, and and they're starting to recognize
Speaker 0: this, you know. Before clearing context to free
Speaker 0: up tokens meant losing the plan, but now
Speaker 0: the plan lives on disk so you can
Speaker 0: aggressively manage context without losing your road map.
Speaker 0: For enterprises, the plan becomes an audible artifact.
Speaker 0: For individuals, you can shut down your terminals,
Speaker 0: switch machines, or recover from a crash, and
Speaker 0: pick up exactly where you left off. This
Speaker 0: is kinda cool. I was already doing something
Speaker 0: similar to this through something I call, well,
Speaker 0: Claude has these command skills that you can
Speaker 0: use to have it run through specific, instructions
Speaker 0: that you set up ahead of time. And
Speaker 0: I have this workflow instruction that allow you
Speaker 0: know, does a little bit of research, documents
Speaker 0: all of its findings, you know, and then
Speaker 0: derives, you know, a plan based on those
Speaker 0: findings. And then, you know, I tend to
Speaker 0: go back and forth on those, plans before
Speaker 0: trying them out, but it's been kind of
Speaker 0: a fun thing to try out with, my
Speaker 0: personal project that I've been building up, over
Speaker 0: the last few months. But, yeah, pretty awesome
Speaker 0: stuff. I think, this this is definitely heading
Speaker 0: in the right direction for the coding agents,
Speaker 0: because the memory is definitely currently the biggest
Speaker 0: limitation. More cloud code stuff. Cloud code teleport.
Speaker 0: Remove your coding sessions between web and terminal
Speaker 0: terminal. You can see where my my articles
Speaker 0: are at. I guess I'm just getting a
Speaker 0: lot of cloud stuff right now. Especially with
Speaker 0: the OpenClaw stuff, I can kinda see why
Speaker 0: this is happening. Cloud Code has kind of
Speaker 0: been the the reigning, you know, code generation
Speaker 0: tool amongst all of the different, available, you
Speaker 0: know, between Gemini and OpenAI and whatnot. It
Speaker 0: seems that Cloud Code's the most popular and
Speaker 0: always has the highest scoring on the, you
Speaker 0: know, the those, like, test ratings. So it's
Speaker 0: kinda interesting more and more to see, more
Speaker 0: Claude articles coming up, especially in my my
Speaker 0: little feed that I use to hunt for
Speaker 0: articles. But, this is from Hacker Noon written
Speaker 0: by Ladislav Guzzi. One frustration with AI coding
Speaker 0: tools has been, again, context switching. Start a
Speaker 0: conversation on the web, realize you need to
Speaker 0: work locally, and you're essentially starting over, or
Speaker 0: you're on your laptop, get interrupted, and wish
Speaker 0: you could pick up on another machine. Cloud
Speaker 0: Code's new teleport feature lets developers transfer entire
Speaker 0: coding sessions, including conversation history context and the
Speaker 0: working branch between web and local environments. Using
Speaker 0: an ampersand prefix sends a task to Cloud
Speaker 0: Code's cloud where it continues running even after
Speaker 0: you close your editor. The teleport command pulls
Speaker 0: web sessions back to your local terminal. You
Speaker 0: can share session IDs with teammates for asynchronous
Speaker 0: pair programming. The catch, it's one way only.
Speaker 0: You can pull web sessions locally, but can't
Speaker 0: push existing local sessions to the web. And
Speaker 0: it looks like this requires GitHub integration and
Speaker 0: a clean git skate git Git Slate. You
Speaker 0: know, it's funny because this sounds like something
Speaker 0: that OpenClaw would already do. So now it
Speaker 0: seems like it's it's tough because so Anthropic
Speaker 0: has to build not only the tool that
Speaker 0: drives it, but also they have to improve
Speaker 0: their wrapper, right, which in this case is
Speaker 0: Claude Cook. But OpenClaus is gets to benefit
Speaker 0: off of all their improvements and just has
Speaker 0: to improve their wrapper. So you can see
Speaker 0: where the, requirement difference is in terms of,
Speaker 0: you know, these businesses and how they're meeting
Speaker 0: people's needs. But if you don't wanna use
Speaker 0: open clause, definitely solves a real workflow problem
Speaker 0: for people. You can start complex work on
Speaker 0: the web during the commute and teleport it
Speaker 0: to your workstation when you arrive, hand off
Speaker 0: a session to a colleague in a different
Speaker 0: time zone, like compute heavy work running the
Speaker 0: cloud while you're working on things locally. The
Speaker 0: one way limitation is notable. And try Anthropic
Speaker 0: likely wants to ensure code integrity through through
Speaker 0: Git, but it's still, like, meaningful towards, like,
Speaker 0: a portable AI assisted development. I still think
Speaker 0: OpenCloud might be a better solution this than
Speaker 0: this, though. Alright. More AI. Google expands Gemini
Speaker 0: API with a hundred megabyte file limits and
Speaker 0: cloud storage integration. This is from Chrome Unboxed
Speaker 0: written by Robbie Payne. Building AI applications that
Speaker 0: handle documents, images, and videos has meant dealing
Speaker 0: with file size restrictions. And, you know, developers
Speaker 0: often had to preprocess content, split large files,
Speaker 0: or build complex workarounds just to feed data
Speaker 0: to AI models. But Google increased the Gemini
Speaker 0: API's inline file size from twenty megabytes to
Speaker 0: a hundred megabytes, a fivefold increase allowing developers
Speaker 0: to send high resolution images, extended audio clips,
Speaker 0: and complex PDFs directly without intermediate storage. New
Speaker 0: integration with Google Cloud Storage lets developers register
Speaker 0: files once and reference them across multiple requests.
Speaker 0: The API also now supports fetching content via
Speaker 0: HTTPS and signed URLs from competing platforms like
Speaker 0: AWS s three or Azure Blob Storage. These
Speaker 0: capabilities run on Gemini three models designed for
Speaker 0: complex reasoning across large multimodal inputs. So I
Speaker 0: guess if any of you are developers building
Speaker 0: AI applications, this might remove some of your
Speaker 0: friction. You now feed an AI a forty
Speaker 0: five minute video or a hundred paid document
Speaker 0: directly. And maybe, I guess, it just runs
Speaker 0: on that. I guess, maybe this might be
Speaker 0: a little more valuable if you're uploading a
Speaker 0: lot of, I don't know, high level documentation
Speaker 0: with tons of detail. I I really wonder,
Speaker 0: you know, But this could also be real
Speaker 0: really good for maybe, like, complex reasoning across,
Speaker 0: like, large reports or many, many reports so
Speaker 0: you could, you know, put more a larger
Speaker 0: report or a larger time frame report in
Speaker 0: to be analyzed rather than twenty megabytes worth.
Speaker 0: So I don't know. This sounds like a
Speaker 0: nice bonus for anyone that uses Gemini API.
Speaker 0: Another Gemini fun bit, from the Google AI
Speaker 0: blog, written by Rohan Doshi. Google launches agentic
Speaker 0: vision in Gemini three flash. Oh, yeah. Yeah.
Speaker 0: This this one is kind of cool. When
Speaker 0: AI looks at an image today, it typically
Speaker 0: describes what it sees in a single pass.
Speaker 0: It's like glancing at a photo versus actually
Speaker 0: studying it. But some tasks, like reading dense
Speaker 0: tables, checking architectural plans, or analyzing detailed diagrams,
Speaker 0: need more than a quick look. Google's new
Speaker 0: agentic vision capability capability in Gemini three Flash
Speaker 0: treats image understanding as an active investigation rather
Speaker 0: than a single observation. The model can formulate
Speaker 0: plans to zoom in, inspect, and manipulate images
Speaker 0: step by step using Python code execution to
Speaker 0: draw on images, parse tables, and visualize data.
Speaker 0: This think, act, observe loop lets AI ground
Speaker 0: its answers in visual evidence rather than guessing.
Speaker 0: Testing shows a consistent five to ten percent
Speaker 0: quality improvement across vision benchmarks. One company using
Speaker 0: it for building plan validation improved accuracy by
Speaker 0: five percent just by enabling code execution, and
Speaker 0: that's for the, Python scripts there. And this
Speaker 0: is AI that can actually study an image
Speaker 0: rather than describe it. It's it's let you
Speaker 0: know, this this takes away the the opportunity
Speaker 0: for it to hallucinate. It builds more context
Speaker 0: grounded in the image it's looking at. You
Speaker 0: know what I mean? So if if you
Speaker 0: ask it to count items in a complex
Speaker 0: photo, it can write code to mark each
Speaker 0: one as it counts. If you need data
Speaker 0: extracted from a messy table, you can use
Speaker 0: Python to process it systematically rather than guessing.
Speaker 0: The practical impact, fewer hallucinations when AI deals
Speaker 0: with visual information that requires careful attention to
Speaker 0: detail. On to the next article. Researchers claim
Speaker 0: LLMs will never truly be intelligent. Tech leaders
Speaker 0: keep promising that if we just scale language
Speaker 0: models big enough, we'll we'll achieve artificial generated
Speaker 0: intelligence. Billions of dollars are being invested on
Speaker 0: this premise, but not everyone's convinced. So this
Speaker 0: article, just to be clear, is not yet,
Speaker 0: peer reviewed, but I think it gives a
Speaker 0: interesting context or interesting perspective into why, you
Speaker 0: know, the the research being done to to
Speaker 0: prove that, you know, LLMs are not they
Speaker 0: may seem close to what we what we're
Speaker 0: trying to achieve, but but this researcher is
Speaker 0: convinced that it is not gonna lead to
Speaker 0: AGI. So Benjamin Riley is the name of
Speaker 0: the researcher, but this article from futurism is
Speaker 0: written by Frank Landy Moore. But Benjamin Riley,
Speaker 0: cofounder of Cognitive Resonance, argues that language and
Speaker 0: intelligence are fundamentally separate cognitive functions. His core
Speaker 0: claim, human thinking is largely independent of human
Speaker 0: language. He points to neuroscience research showing that
Speaker 0: people who lose language abilities retain the cap
Speaker 0: capacity to solve math problems, understand emotions, and
Speaker 0: reason about the world. LLMs, he argues, merely
Speaker 0: simulate communicate communicative patterns rather than actually thinking
Speaker 0: correct. Research on AI creativity suggests these systems
Speaker 0: hit inherent ceilings, producing formulaic rather than truly
Speaker 0: novel outputs. Even Yan LeCun, one of the
Speaker 0: pioneers of modern AI, disputes that scaling the
Speaker 0: LLMs will lead to AGI, advocating instead for
Speaker 0: alternative world model approaches. I am on this
Speaker 0: boat as well. At this point in time,
Speaker 0: I do believe that we are merely being
Speaker 0: fooled into believing that we are seeing some
Speaker 0: sort of intelligence. But, again, the data proves
Speaker 0: that this is merely pattern matching system, and
Speaker 0: we need to keep that in our minds
Speaker 0: as we use these tools that, you know,
Speaker 0: that we do not personify them. So I
Speaker 0: feel like this is a pretty good counterweight
Speaker 0: to a lot of the AGI hype. I'm
Speaker 0: hoping that, you know, that this idea or
Speaker 0: belief picks up more steam and and becomes
Speaker 0: grounded in more empirical data. That's that's that's
Speaker 0: the important part, you know, rather than it
Speaker 0: being a belief that it's a fact. And
Speaker 0: the question isn't whether LMS are useful. They
Speaker 0: they are. The question is whether making them
Speaker 0: bigger will eventually produce genuine intelligence. And you
Speaker 0: think about the amount of scaling we're doing
Speaker 0: in some of these states in terms of,
Speaker 0: megawatts. So I don't know. Riley's argument suggests
Speaker 0: that we might be optimizing the wrong thing.
Speaker 0: Language is a communication tool, not a thinking
Speaker 0: tool. That doesn't mean AI progress will stop,
Speaker 0: but it might mean the path to more
Speaker 0: capable AI runs through fundamentally different architectures, not
Speaker 0: just bigger language models. I would be interested
Speaker 0: to see where this goes. Let's move on.
Speaker 0: I think, I got another few for you
Speaker 0: folks here. I actually pretty much loaded up
Speaker 0: today on on a ton of articles. So,
Speaker 0: you can see I've been stockpiling for a
Speaker 0: little while, I guess, but paper claims AI
Speaker 0: agents are mathematically limited in complex tasks. So
Speaker 0: this is another, AI limitational of paper I
Speaker 0: found on futurism, written, again, by Frankie Landy
Speaker 0: Moore or Frank Landy Moore. So you you
Speaker 0: I think Frank's on the same side as
Speaker 0: me. We don't think that that that is
Speaker 0: coming to AGI since they they've got two
Speaker 0: papers now. But AI agents systems that can
Speaker 0: take actions rather than just generate text are
Speaker 0: being deployed for everything from customer service to
Speaker 0: software development. Companies are betting they can replace
Speaker 0: human workers. But, you know, how reliable are
Speaker 0: they? A non peer reviewed paper by Vishal
Speaker 0: Sikka and his son claims to be mathematically
Speaker 0: claims to mathematically demonstrate that large language models
Speaker 0: are incapable of carrying out computational and agentic
Speaker 0: tasks beyond a certain complexity, and that threshold
Speaker 0: is surprisingly low. Okay. So it seems like
Speaker 0: I confused the two articles because this is
Speaker 0: the one with the non peer reviewed, paper
Speaker 0: rather than the previous one by Frank Landy
Speaker 0: Moore. Whoops. Sorry about that, guys. But the
Speaker 0: paper points to real world failures. Companies deploying
Speaker 0: AI agents for workforce reduction discovered the system
Speaker 0: couldn't adequately replace human workers due to frequent
Speaker 0: errors. OpenAI research has conceded that AI hallucinations
Speaker 0: remain pervasive and that model accuracy will never
Speaker 0: reach a hundred percent. Sitka argues AI agents
Speaker 0: cannot safely operate in high stakes environments, Those
Speaker 0: supplementary components built around LLMs might overcome pure
Speaker 0: model limitations. So but, yeah, take this with
Speaker 0: a grain of salt. The claims are pretty
Speaker 0: strong in this paper, but it it aligns
Speaker 0: with what many people are seeing, like, in
Speaker 0: practice that AI agents work great for some
Speaker 0: task and and just, you know, they just
Speaker 0: fail spectacularly at others, with limited predictability about
Speaker 0: which is which. You know, you you really
Speaker 0: don't know Well, you can kinda you you
Speaker 0: kinda do know. I I still am of
Speaker 0: the belief that, you know, that to a
Speaker 0: degree when you give it a large, broad
Speaker 0: strokes task, that the the granular details should
Speaker 0: be reviewed and re encoded in because that
Speaker 0: seems to be, like, something that's consistently missed.
Speaker 0: But the company is rushing to replace workers
Speaker 0: with AI agents may be getting ahead of
Speaker 0: technology's actual reliability. And never reaching a hundred
Speaker 0: percent point from open AI researchers is pretty
Speaker 0: notable. If even the makers at Minted Tools
Speaker 0: will always have error rates, that limits where
Speaker 0: they can safely be deployed. So this is
Speaker 0: pretty interesting. I wouldn't mark it as settled
Speaker 0: just yet, but, definitely, the common sentiment that's
Speaker 0: being passed around in general, I feel like,
Speaker 0: matches what this article is saying. But okay.
Speaker 0: I'm gonna hop. I'm just gonna skip forward
Speaker 0: to a non AI article so I can
Speaker 0: free you folks from my absolute AI onslaught.
Speaker 0: I didn't realize I got so many AI
Speaker 0: articles. This one's from Ars Technica. Haven one,
Speaker 0: first commercial space station now being assembled for
Speaker 0: launch. With NASA planning to retire the of
Speaker 0: the ISS, which has been a very common
Speaker 0: topic in my shows, there's a race to
Speaker 0: build commercial replacements. And we've talked about this,
Speaker 0: that that that in twenty thirty, we're gonna
Speaker 0: start seeing the research be commercialized rather than
Speaker 0: it being handled by NASA. And a large
Speaker 0: concern with this is the the large share
Speaker 0: that, you know, SpaceX has over the current
Speaker 0: market in terms of space development and space
Speaker 0: research. It it you know, last we checked,
Speaker 0: it was, like, seventy five percent or something
Speaker 0: of the contracts are in the hands of
Speaker 0: SpaceX. So ISS has been humanity's home in
Speaker 0: orbit for over two decades, but it's aging
Speaker 0: and expensive to maintain. Several companies are working
Speaker 0: on private station, but VAST is pulling ahead.
Speaker 0: VAST CEO Max Hout confirmed to Ars Technica
Speaker 0: that Haven one's launch has slipped from mid
Speaker 0: twenty twenty six to q one twenty twenty
Speaker 0: seven, their first public acknowledgment of the delay.
Speaker 0: The good news, the fifteen ton station's primary
Speaker 0: structure was fully completed on January tenth, and
Speaker 0: they are now starting clean room integration of
Speaker 0: thermal control, propulsion, interior shells, and avionics. Final
Speaker 0: closeout expected by fall followed by a full
Speaker 0: test campaign at NASA's Plum Brook facility. Once
Speaker 0: launched at Falcon nine without crew, the station
Speaker 0: could receive its first visitors as early as
Speaker 0: two weeks later once SpaceX certifies Dragon can
Speaker 0: safely dock. VAST is in deep negotiations with
Speaker 0: private individuals and nation states for crew and
Speaker 0: believe they can compress training to six months
Speaker 0: for experienced astronauts. This is still a pretty
Speaker 0: genuine milestone. First privately built commercial space station,
Speaker 0: likely two years ahead of any competitor. How
Speaker 0: it has made a pointed comment about NASA's
Speaker 0: delayed requirements. We think they should focus on
Speaker 0: what is right for the country, not on
Speaker 0: being fair to all bidders. With IRS's retirement
Speaker 0: less than five years away, he's urging NASA
Speaker 0: to require a crew demonstration flight soon, not
Speaker 0: on the eve of twenty thirty one. The
Speaker 0: station will have a three year lifetime with
Speaker 0: up to four crews visited up to four
Speaker 0: crew visits planned, ten day missions each. Wow.
Speaker 0: That's a pretty cool one. So, yeah, we're
Speaker 0: starting to see the first ones, kinda come
Speaker 0: out to market. I guess not market, but
Speaker 0: come out to public. And those are definitely
Speaker 0: looking, pretty sweet. This one's from, space dot
Speaker 0: com. I got a article by by Josh
Speaker 0: Dinner. Spaceflight shifts astronauts' brains inside their skulls.
Speaker 0: As space agencies plan longer missions to the
Speaker 0: moon, to Mars, understanding what extended spaceflight does
Speaker 0: to the human body becomes critical. We know
Speaker 0: about muscle loss and bone density issues. The
Speaker 0: effects on the brain though are are less
Speaker 0: well understood. So we got some new research,
Speaker 0: regarding this. But, using neuroimaging, they, they've documented
Speaker 0: that microgravity causes astronauts' brains to physically shift
Speaker 0: position within their skulls, specifically backward and upward
Speaker 0: and tilted. Scientists trained brain or tracked brain
Speaker 0: positioning changes across missions of varying durations, approximately
Speaker 0: two weeks, six months, and one year. Their
Speaker 0: displacement represents a measurable anatomical change as the
Speaker 0: body adapts to weightlessness. It sounds pretty alarming,
Speaker 0: but I think, it's just kinda interesting from
Speaker 0: a science perspective. It's not like your brain
Speaker 0: was ever fixed in place, you know, the
Speaker 0: first place. It's been floating in our fluid
Speaker 0: brains, and gravity kind of affects where it's
Speaker 0: six. So if you take away the gravity
Speaker 0: and it repositions, the question people are trying
Speaker 0: to answer is where what's going on with
Speaker 0: that? And even more so is whether this
Speaker 0: causes any functional problems, especially on missions lasting
Speaker 0: months or years. As we plan trips to
Speaker 0: Mars that could take three year round trips,
Speaker 0: understanding these effects is pretty essential. We're keeping
Speaker 0: our astronauts alive and healthy. I have one
Speaker 0: final one for you, folks, this afternoon. This
Speaker 0: one's from, the Veterans Associations, actually. So IBM
Speaker 0: skills build free tech training for veterans and
Speaker 0: military families. If you're transitioning from military service
Speaker 0: to civilian careers, you know it can be
Speaker 0: pretty challenging. We've all heard, the difficulties that
Speaker 0: a lot of veterans face, transitioning to civilian
Speaker 0: life, especially in tech fields where credentials and
Speaker 0: specific skills matter. I remember I was listening
Speaker 0: to one of my coworker shows, and he
Speaker 0: was talking about how his avionics, certification didn't
Speaker 0: transfer over when he left the military. And
Speaker 0: it required a whole different set of documentation,
Speaker 0: which I found to be insane. You know,
Speaker 0: you're you're trained on the exact same stuff.
Speaker 0: But the VA has been partnering with industry
Speaker 0: to kinda create pathways for these veterans to,
Speaker 0: you know, find work. So IBM SkillsBuild is
Speaker 0: a free program offering over one thousand online
Speaker 0: courses in high demand fields, including data analytics,
Speaker 0: cybersecurity, AI, cloud computing, and IT support. It's
Speaker 0: available to veterans, active duty service members, national
Speaker 0: guard, and reserve members, their spouses, children, and
Speaker 0: caregivers, anyone eighteen or older. The program offers
Speaker 0: two formats, structured live courses with weekly plans
Speaker 0: and support, and self paced twenty four access
Speaker 0: courses. Complete this earn industry recognized credentials that
Speaker 0: can be added to LinkedIn profiles. That's actually
Speaker 0: kinda sick. If If you're a veteran or
Speaker 0: have veterans in your life looking to move
Speaker 0: into tech, this is a pretty legit, free
Speaker 0: resource worth knowing about. IBM credentials carry weight
Speaker 0: with a lot of employers, and the program
Speaker 0: covers areas where jobs are plentiful. The inclusion
Speaker 0: of family members is also pretty notable. It's
Speaker 0: not just for your serve service members, but
Speaker 0: your your your wife, your children as well.
Speaker 0: Sign up at the IBM skill build skills
Speaker 0: build website, and you'll automatically get directed to
Speaker 0: the veteran specific section. Before we close out,
Speaker 0: you know, and, you know, something to think
Speaker 0: about coming into this next week, but mold
Speaker 0: book, AI to AI communication, what do you
Speaker 0: guys think about this? About these AI agents
Speaker 0: forming communities, debating philosophy, that new Christopher because
Speaker 0: what did they call it? Christopher I can't
Speaker 0: even pronounce it. The religion is called crustopher
Speaker 0: crustopherianism. So, I mean, you know, look into
Speaker 0: that. What do you guys think of crustopherianism?
Speaker 0: Are you planning to try the open claw
Speaker 0: system? It definitely sounds like it's going to
Speaker 0: be the new wave and and and how
Speaker 0: we're going to be moving forward into using
Speaker 0: these systems. Everything is now becoming about the
Speaker 0: context, and I'm sure we're gonna continue to
Speaker 0: see the price of memory go up. For
Speaker 0: speaking of which, I did end up buying
Speaker 0: my new PC, but I still got wrecked
Speaker 0: on those memory prices, man. And, it's I
Speaker 0: don't know. Stuff like that is pretty tragic,
Speaker 0: I feel like, to see that overflow into
Speaker 0: other sectors. I mean, it's it's still tech,
Speaker 0: I guess, but but and the and the
Speaker 0: other thing I was also wanting to mention
Speaker 0: was, you know, the whole vibe coding paradox
Speaker 0: where we're we're starting to see the malware
Speaker 0: created by vibe coding, but but vibe coding
Speaker 0: isn't actually that good yet or isn't actually
Speaker 0: that, you know, reliable yet. So it's interesting
Speaker 0: to see these, people come in and try
Speaker 0: to create malware for systems they don't understand.
Speaker 0: And this has actually been a pretty big
Speaker 0: and up and coming thing. And, actually, if
Speaker 0: you guys you guys know I keep up
Speaker 0: with Curl and Daniel Stenberg, he just actually
Speaker 0: closed his bug bounty program due to the
Speaker 0: onslaught of AI slop that he's been getting
Speaker 0: for, you know, bug bounty reports. And I
Speaker 0: I can say we've been getting the same
Speaker 0: freaking slop at at at a blueberry too,
Speaker 0: and it's it's ridiculous, you know, to a
Speaker 0: degree. Overhyping the the degree of the vulnerability,
Speaker 0: you know, not even proving the vulnerability exists,
Speaker 0: creating fake vulnerabilities. You name it. You know?
Speaker 0: They they create these extensive reports that look
Speaker 0: legit and just waste people's time. It just
Speaker 0: wastes people's time. So if you're one of
Speaker 0: those people, please stop. Please stop. I know
Speaker 0: that you might get some free bug bounty
Speaker 0: money, but please stop. You're not helping anyone.
Speaker 0: Well, sorry again for the delayed, show. Gonna
Speaker 0: definitely try to be keeping up this, this
Speaker 0: month and try to put a little bit
Speaker 0: more extra shows in on the on the
Speaker 0: line for you guys. So, definitely keep an
Speaker 0: eye out for that. Happy February first. Stay
Speaker 0: safe out there. Stay warm. If you're out
Speaker 0: in the, the Midwest, definitely bundle up, and